What is he best known for?
The fields of study he is best known for:
- Genus
- Phylogenetic tree
- Phylogenetics
Ward C. Wheeler focuses on Zoology, Phylogenetic tree, Evolutionary biology, Monophyly and Phylogenetics.
Ward C. Wheeler interconnects Sister group, Chelicerata and Ecdysozoa in the investigation of issues within Zoology.
The concepts of his Phylogenetic tree study are interwoven with issues in Algorithm, Thoropa and Dendrobates.
His studies deal with areas such as Taxon, Ecology, Mecoptera, Clade and Strepsiptera as well as Evolutionary biology.
His work deals with themes such as Pancrustacea, Systematics, Cladistics and Dyspnoi, which intersect with Monophyly.
His Phylogenetics research is multidisciplinary, incorporating perspectives in Ribosomal RNA, DNA sequencing and Sequence.
His most cited work include:
- THE AMPHIBIAN TREE OF LIFE (1668 citations)
- Broad phylogenomic sampling improves resolution of the animal tree of life (1525 citations)
- The Strepsiptera problem: phylogeny of the holometabolous insect orders inferred from 18S and 28S ribosomal DNA sequences and morphology. (744 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Phylogenetic tree, Zoology, Evolutionary biology, Phylogenetics and Monophyly.
Ward C. Wheeler has researched Phylogenetic tree in several fields, including Bioinformatics, Maximum likelihood, Multiple sequence alignment, Algorithm and DNA sequencing.
His work in Algorithm addresses subjects such as Cladogram, which are connected to disciplines such as Optimality criterion.
His research integrates issues of Sister group and Clade in his study of Zoology.
His studies in Evolutionary biology integrate themes in fields like Ecology, Arthropod and Phylogenomics.
His research in Monophyly intersects with topics in Paraphyly and Taxon.
He most often published in these fields:
- Phylogenetic tree (34.03%)
- Zoology (32.46%)
- Evolutionary biology (24.08%)
What were the highlights of his more recent work (between 2013-2021)?
- Zoology (32.46%)
- Phylogenetic tree (34.03%)
- Evolutionary biology (24.08%)
In recent papers he was focusing on the following fields of study:
The scientist’s investigation covers issues in Zoology, Phylogenetic tree, Evolutionary biology, Phylogenetics and Monophyly.
His Zoology research is multidisciplinary, incorporating elements of Ecology and Natural history.
His Phylogenetic tree study combines topics in areas such as Algorithm, Combinatorics and Bioinformatics.
The study incorporates disciplines such as Sister group, Taxon, Anatomy, Arthropod and Phylogenomics in addition to Evolutionary biology.
His Phylogenetics research incorporates themes from Gene duplication, Microhylidae and Hylidae.
His Monophyly study incorporates themes from Taxonomy, Synapomorphy and Polyphyly.
Between 2013 and 2021, his most popular works were:
- The spider tree of life: phylogeny of Araneae based on target-gene analyses from an extensive taxon sampling (183 citations)
- Phylogenomic Interrogation of Arachnida Reveals Systemic Conflicts in Phylogenetic Signal (178 citations)
- The impact of anchored phylogenomics and taxon sampling on phylogenetic inference in narrow‐mouthed frogs (Anura, Microhylidae) (68 citations)
In his most recent research, the most cited papers focused on:
- Genus
- Phylogenetic tree
- Ecology
Ward C. Wheeler mainly investigates Evolutionary biology, Zoology, Ecology, Monophyly and Phylogenetic tree.
His Evolutionary biology research is multidisciplinary, relying on both Hemiptera, Nepomorpha, Phylogenetics and Anatomy.
His Zoology study frequently draws connections to adjacent fields such as Opisthothelae.
His work on Opiliones and Taxonomy as part of general Ecology study is frequently linked to Biological dispersal and Classics, bridging the gap between disciplines.
His Monophyly study combines topics from a wide range of disciplines, such as Sister group, Microhylidae, Chiasmocleis carvalhoi and Hylinae.
His study in the fields of Clade under the domain of Phylogenetic tree overlaps with other disciplines such as Data type.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
